Staff DevOps Engineer - AI-Powered Solutions (Remote)
About the Role
Join Moveworks as a Staff DevOps Engineer - Remote and be at the forefront of AI transformation. Our platform empowers employees to automate tasks and streamline workflows using advanced AI technologies. You will work closely with cross-functional teams, ensuring our infrastructure is robust and scalable.
What You'll Do
- Collaborate with platform, machine learning, search, data, and frontend teams to understand their DevOps and infrastructure needs.
- Design, build, and manage the Moveworks multi-tenant AWS cloud infrastructure ensuring scalability, performance, observability, resilience, and cost optimization.
- Own all Kubernetes clusters and service deployments, enhancing observability and reliability of Moveworks systems.
- Build and manage CI/CD pipelines using infrastructure as code to automate the Moveworks application stack across different environments.
- Design and manage networking infrastructure with best-in-class security practices across multiple office sites.
- Work with the security team to enhance the privacy and security posture of the Moveworks infrastructure.
Requirements
- 7+ years of experience in DevOps engineering and administration.
- Strong technical expertise in designing and building AWS cloud infrastructure.
- Proficient in managing AWS security groups, IAM roles, Elastic Load Balancers, and Cloud Formation.
- Experience with Kubernetes, OpenSearch/Elasticsearch, and CI/CD tools like Jenkins, Terraform, and Ansible.
- Strong coding discipline in Python focused on maintainable automation.
- Knowledge of disaster recovery processes and security practices.
Nice to Have
- Experience integrating AI into work processes and decision-making.
- Comfortable working in a startup environment with a high degree of ownership.
What We Offer
- Competitive salary and benefits package.
- Remote work flexibility with a focus on work-life balance.
- Opportunity to work with cutting-edge AI technologies.
- Inclusive and diverse workplace culture.
- Access to professional development and training opportunities.
This role offers a unique opportunity to lead AI-driven projects in a flexible remote environment. Join a recognized leader in AI technology.
Who Will Succeed Here
Deep expertise in AWS services and architecture, including hands-on experience with EC2, S3, and Lambda, to effectively manage cloud infrastructure and optimize deployment processes.
Proficiency in container orchestration using Kubernetes, with experience in setting up CI/CD pipelines that integrate with tools like Jenkins or GitLab for seamless deployment of AI-powered applications.
Strong scripting skills in Python for automation and configuration management, combined with a mindset focused on continuous improvement and the ability to adapt to rapidly evolving technologies in the DevOps landscape.
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